Studying Hospitalizations and Mortality in the Netherlands: Feasible and Valid Using Two-Step Medical Record Linkage with Nationwide Registers
In the Netherlands, the postal code is needed to study hospitalizations of individuals in the nationwide hospitalization register. Studying hospitalizations longitudinally becomes troublesome if individuals change address. We aimed to report on the feasibility and validity of a two-step medical reco...
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creator | Sieswerda, Elske Font-Gonzalez, Anna Dijkgraaf, Marcel G W Geskus, Ronald B Heinen, Richard C van der Pal, Helena J van Leeuwen, Flora E Caron, Huib N Kremer, Leontien C Reitsma, Johannes B |
description | In the Netherlands, the postal code is needed to study hospitalizations of individuals in the nationwide hospitalization register. Studying hospitalizations longitudinally becomes troublesome if individuals change address. We aimed to report on the feasibility and validity of a two-step medical record linkage approach to examine longitudinal trends in hospitalizations and mortality in a study cohort. First, we linked a study cohort of 1564 survivors of childhood cancer with the Municipal Personal Records Database (GBA) which has postal code history and mortality data available. Within GBA, we sampled a reference population matched on year of birth, gender and calendar year. Second, we extracted hospitalizations from the Hospital Discharge Register (LMR) with a date of discharge during unique follow-up (based on date of birth, gender and postal code in GBA). We calculated the agreement of death and being hospitalized in survivors according to the registers and to available cohort data. We retrieved 1477 (94%) survivors from GBA. Median percentages of unique/potential follow-up were 87% (survivors) and 83% (reference persons). Characteristics of survivors and reference persons contributing to unique follow-up were comparable. Agreement of hospitalization during unique follow-up was 94% and agreement of death was 98%. In absence of unique identifiers in the Dutch hospitalization register, it is feasible and valid to study hospitalizations and mortality of individuals longitudinally using a two-step medical record linkage approach. Cohort studies in the Netherlands have the opportunity to study mortality and hospitalization rates over time. These outcomes provide insight into the burden of clinical events and healthcare use in studies on patients at risk of long-term morbidities. |
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Studying hospitalizations longitudinally becomes troublesome if individuals change address. We aimed to report on the feasibility and validity of a two-step medical record linkage approach to examine longitudinal trends in hospitalizations and mortality in a study cohort. First, we linked a study cohort of 1564 survivors of childhood cancer with the Municipal Personal Records Database (GBA) which has postal code history and mortality data available. Within GBA, we sampled a reference population matched on year of birth, gender and calendar year. Second, we extracted hospitalizations from the Hospital Discharge Register (LMR) with a date of discharge during unique follow-up (based on date of birth, gender and postal code in GBA). We calculated the agreement of death and being hospitalized in survivors according to the registers and to available cohort data. We retrieved 1477 (94%) survivors from GBA. Median percentages of unique/potential follow-up were 87% (survivors) and 83% (reference persons). Characteristics of survivors and reference persons contributing to unique follow-up were comparable. Agreement of hospitalization during unique follow-up was 94% and agreement of death was 98%. In absence of unique identifiers in the Dutch hospitalization register, it is feasible and valid to study hospitalizations and mortality of individuals longitudinally using a two-step medical record linkage approach. Cohort studies in the Netherlands have the opportunity to study mortality and hospitalization rates over time. These outcomes provide insight into the burden of clinical events and healthcare use in studies on patients at risk of long-term morbidities.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0132444</identifier><identifier>PMID: 26147988</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Birth ; Cancer ; Cancer therapies ; Child ; Child, Preschool ; Children ; Cohort analysis ; Data dictionaries ; Databases, Factual ; Disease-Free Survival ; Epidemiology ; Feasibility studies ; Female ; Gender ; Health aspects ; Health care ; Health risk assessment ; Hospitalization ; Hospitals ; Humans ; Infant ; Infant, Newborn ; Male ; Medical diagnosis ; Medical records ; Medical research ; Mortality ; Neoplasms - mortality ; Neoplasms - therapy ; Netherlands - epidemiology ; Oncology ; Patients ; Pediatrics ; Population ; Registries ; Retrospective Studies ; Studies ; Survival Rate</subject><ispartof>PloS one, 2015-07, Vol.10 (7), p.e0132444-e0132444</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Sieswerda et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Sieswerda et al 2015 Sieswerda et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-a36f3cfdc8e421a2c4f7584a847fbbeb61d9a42b5980316ec56526ca4b58fdfd3</citedby><cites>FETCH-LOGICAL-c692t-a36f3cfdc8e421a2c4f7584a847fbbeb61d9a42b5980316ec56526ca4b58fdfd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493069/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493069/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26147988$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Scuteri, Angelo</contributor><creatorcontrib>Sieswerda, Elske</creatorcontrib><creatorcontrib>Font-Gonzalez, Anna</creatorcontrib><creatorcontrib>Dijkgraaf, Marcel G W</creatorcontrib><creatorcontrib>Geskus, Ronald B</creatorcontrib><creatorcontrib>Heinen, Richard C</creatorcontrib><creatorcontrib>van der Pal, Helena J</creatorcontrib><creatorcontrib>van Leeuwen, Flora E</creatorcontrib><creatorcontrib>Caron, Huib N</creatorcontrib><creatorcontrib>Kremer, Leontien C</creatorcontrib><creatorcontrib>Reitsma, Johannes B</creatorcontrib><title>Studying Hospitalizations and Mortality in the Netherlands: Feasible and Valid Using Two-Step Medical Record Linkage with Nationwide Registers</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>In the Netherlands, the postal code is needed to study hospitalizations of individuals in the nationwide hospitalization register. 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individuals in the nationwide hospitalization register. Studying hospitalizations longitudinally becomes troublesome if individuals change address. We aimed to report on the feasibility and validity of a two-step medical record linkage approach to examine longitudinal trends in hospitalizations and mortality in a study cohort. First, we linked a study cohort of 1564 survivors of childhood cancer with the Municipal Personal Records Database (GBA) which has postal code history and mortality data available. Within GBA, we sampled a reference population matched on year of birth, gender and calendar year. Second, we extracted hospitalizations from the Hospital Discharge Register (LMR) with a date of discharge during unique follow-up (based on date of birth, gender and postal code in GBA). We calculated the agreement of death and being hospitalized in survivors according to the registers and to available cohort data. We retrieved 1477 (94%) survivors from GBA. Median percentages of unique/potential follow-up were 87% (survivors) and 83% (reference persons). Characteristics of survivors and reference persons contributing to unique follow-up were comparable. Agreement of hospitalization during unique follow-up was 94% and agreement of death was 98%. In absence of unique identifiers in the Dutch hospitalization register, it is feasible and valid to study hospitalizations and mortality of individuals longitudinally using a two-step medical record linkage approach. Cohort studies in the Netherlands have the opportunity to study mortality and hospitalization rates over time. These outcomes provide insight into the burden of clinical events and healthcare use in studies on patients at risk of long-term morbidities.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26147988</pmid><doi>10.1371/journal.pone.0132444</doi><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adolescent Birth Cancer Cancer therapies Child Child, Preschool Children Cohort analysis Data dictionaries Databases, Factual Disease-Free Survival Epidemiology Feasibility studies Female Gender Health aspects Health care Health risk assessment Hospitalization Hospitals Humans Infant Infant, Newborn Male Medical diagnosis Medical records Medical research Mortality Neoplasms - mortality Neoplasms - therapy Netherlands - epidemiology Oncology Patients Pediatrics Population Registries Retrospective Studies Studies Survival Rate |
title | Studying Hospitalizations and Mortality in the Netherlands: Feasible and Valid Using Two-Step Medical Record Linkage with Nationwide Registers |
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